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Identifying patterns in financial markets : new approach combining rules between PIPs and SAX

Author: João Leitão; Rui F M F Neves; Nuno C G Horta
Publisher: Cham, Switzerland : Springer, [2018]
Series: SpringerBriefs in applied sciences and technology., Computational intelligence.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA). The proposed approach was tested with real data from S&P500 index and all the results obtained outperform the Buy&Hold strategy. Three different case studies are presented by the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: (OCoLC)1005202550
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: João Leitão; Rui F M F Neves; Nuno C G Horta
ISBN: 9783319701608 3319701606
OCLC Number: 1017738282
Description: 1 online resource : illustrations.
Contents: Introduction --
Related Work --
SIR/GA approach --
Case studies.
Series Title: SpringerBriefs in applied sciences and technology., Computational intelligence.
Responsibility: João Leitão, Rui Ferreira Neves, Nuno C.G. Horta.

Abstract:

This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation  Read more...

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